In this project, a basic implementation of gradient descent has been developed using Python. The implementation includes the following components: Objective Function: The specific objective function ...

The avB2dx function is used in the given code to calculate the gradient vectors, which are stored in the phi variable. To construct a coordinate grid with the dimensions and spacing appropriate to the ...

Leveraging a properly designed Lyapunov function, we derive both the computation and communication complexities for achieving arbitrary accuracy on smooth and strongly convex objective functions. Our ...

This article proposes a distributed algorithm for a network of agents to solve an optimization problem with separable objective function and locally coupled constraints. Our strategy is based on ...

Nevergrad, an open-sourced Python3 toolkit by Facebook for developers offers an extensive collection of algorithms to avoid gradient optimization and present them in a standard ask-and-tell Python ...